Physiological control of blood pumps using intrinsic pump parameters: a computer simulation study.

Full Abstract

Implantable flow and pressure sensors, used to control rotary blood pumps, are unreliable in the long term. It is, therefore, desirable to develop a physiological control system that depends only on readily available measurements of the intrinsic pump parameters, such as measurements of the pump current, voltage, and speed (in revolutions per minute). A previously proposed DeltaP control method of ventricular assist devices (VADs) requires the implantation of two pressure sensors to measure the pressure difference between the left ventricle and aorta. In this article, we propose a model-based method for estimating DeltaP, which eliminates the need for implantable pressure sensors. The developed estimator consists of the extended Kalman filter in conjunction with the Golay-Savitzky filter. The performance of the combined estimator-VAD controller system was evaluated in computer simulations for a broad range of physical activities and varying cardiac conditions. The results show that there was no appreciable performance degradation of the estimator-controller system compared to the case when DeltaP is measured directly. The proposed approach effectively utilizes a VAD as both a pump and a differential pressure sensor, thus eliminating the need for dedicated implantable pressure and flow sensors. The simulation results show that different pump designs may not be equally effective at playing a dual role of a flow actuator and DeltaP sensor.

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Author information

Author/s: Giridharan, Guruprasad A (GA); Skliar, Mikhail (M);

Affiliation: Cardiovascular Innovation Institute, University of Louisville, Louisville, KY, USA.

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Artificial organs (Artif Organs), published in United States. (Language: eng)

Reference: 2006-Apr; vol 30 (issue 4) : pp 301-7

Dates: Created 2006/04/28; Completed 2006/10/12; Revised 2006/11/15;

PMID: 16643388, status: MEDLINE (last retrieval date: 12/26/2008)

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